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My parents just rolled up for a holiday visit, and my dad brought this unbelievable guitar that he *made for me with his bare hands*pic.twitter.com/i6oYt6qDiP
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So our Fig4 is the place to look for this (c is assortative mating strength, and k is # of causal loci). One takeaway is that stronger assortment leads to slower breakdown of the trait/admixture correlation, particularly if # of causal loci is large.pic.twitter.com/iCRsKZFrZV
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1) GEDmatch will show an image indicating similarity between a pair of kits along each chromosome. If an adversary knows at what SNPs a kit is genotyped, then all their genotypes could be learned by comparing against a reference. (image from https://smithplanet.com/stuff/gedmatch.htm …)pic.twitter.com/cyN3vt3Dgn
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(Thread) A number of people have asked about the vulnerabilities of particular services to the types of attack described by our preprint (
@Graham_Coop, https://www.biorxiv.org/content/10.1101/798272v1 …), this table from Leah Larkin’s great blog post highlights some key parameterspic.twitter.com/Yg3dRcQ6u5
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Luckily, all the attacks we describe are preventable, or at least can be made inefficient, if DTC services use a subset of the countermeasures we describe (17/n)pic.twitter.com/fWho3Ux7Oj
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You can use this to reveal genotypes at specified locations. Upload a dataset that’s mostly het, but put in homozygous genotypes at the sites you want to know. If a person in the database has the opposite homozygous genotype, the inferred related segment will break. (14/n)pic.twitter.com/n8QWh95TGP
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The idea is to fill in most of the uploaded genome with fake genotypes designed to match no one, so any people returned as matches will match the uploaded dataset at the site of interest. (10/n)pic.twitter.com/rxNB1Znaf6
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We find that tiling works pretty well in a set of publicly available European genomes. (8/n)pic.twitter.com/BiHzErSmTc
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We explore three ways of doing this. We call the first “tiling,” and to do it, an adversary would just upload many genomes (e.g. publicly available ones) and keep track of their chromosomal matches with genomes in the database. (7/n)pic.twitter.com/0a0nl4LbN2
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In this paper, we’re thinking about direct-to-consumer (DTC) genetic genealogy services that allow users to upload their own genetic datasets. Examples include GEDmatch,
@FamilyTreeDNA,@MyHeritage, and@LivingDNA. (3/n)pic.twitter.com/r088F2Wy3k
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Came back from
#Evol2019 to my copy of Glenn-Peter Saetre and@Mark_Ravinet's new book. Nice broad coverage of evolutionary genetics, w/ impressive R resources to help students build intuition.pic.twitter.com/J2gRdfEyJu
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Matt "No tweets" Osmond coming to our evolutionary rescue, riding out of the desert on a fine Arab charger
#evol2019pic.twitter.com/q7ZDwiGfoG
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